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Effective Mass Spectrometer (MS)-Based Methods for Systematic and Unambiguous Characterization of Protein O-GlcNAcylation

Effective Mass Spectrometer (MS)-Based Methods for Systematic and Unambiguous Characterization of Protein O-GlcNAcylation
基于有效质谱仪 (MS) 的方法可系统、明确地表征蛋白质 O-GlcNAc 酰化
批准号:
2003597
负责人:
Ronghu Wu
金额:
$41.82万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31

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中文摘要
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英文摘要
With support from the Chemical Measurement and Imaging Program in the Division of Chemistry, Professor Ronghu Wu and his group at Georgia Tech are working to improve our ability to characterize an important group of natural protein modifications that involve attachment of sugars. Specifically, Dr. Wu is developing biotechnology tools based on mass spectrometry, in search of better understanding of O-GlcNAcylation, a protein modification which impacts cell function (for example, regulation of gene expression). Graduate and undergraduate students engaged in the research receive valuable training in instrumentation, chemical measurements, and large-scale data analysis. Dr. Wu also provides research opportunities for high school students and teachers, exposing them to cutting-edge research and stimulating their interests in STEM. The Wu group seeks to comprehensively and unambiguously characterize protein O-GlcNAcylation through the development of novel mass spectrometry (MS)-based methods. The problem is challenging because of the low natural abundance of the target proteins in complex biological samples, and the need to distinguish proteins with O-GlcNAc from those with stereoisomeric O-GalNAc. Dr. Wu is developing protocols which selectively enrich O-GlcNAcylated proteins, enabling global and quantitative analysis of protein O-GlcNAcylation. Identification of glycoproteins in the cytosol and the nucleus, and quantification of their dynamics, will provide valuable information to facilitate our understanding of protein O-GlcNAcylation, with potential applications in biological and biomedical research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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CAREER: Characterizing the Glycoproteome with Effective MS-based Chemical and Enzymatic Methods
  • 批准号:
    1454501
  • 项目类别:
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  • 资助金额:
    $62.5万
  • 财政年份:
    2015
  • 负责人:
    Ronghu Wu
  • 依托单位:
国内基金
海外基金
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Exposing Verifiable Consequences of the Emergence of Mass
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2021
  • 负责人:
    Craig Darrian Roberts
  • 依托单位:
多船会遇局面下的MASS自主行为决策与控制策略研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    58万元
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    关巍
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Shining light on the black hole mass distribution
  • 批准号:
    12073029
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    Roberto Soria
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